导读｜RSI（递归自我改进）不应只发生在模型参数层：类比人类大脑的不是 LLM，而是整个 Agent。EverMind 开源的 Raven V0.2.0 为此提供了两个核心设计：为 RSI 而设计的 Harness 框架，以及统一编排专业 Agent ...

2026年春天，机器人界突然‘抖’了一下——不是因为某家科技巨头又砸了百亿美金，而是一支来自香港大学MMLAB实验室的团队，用一套名字拗口、逻辑却极简的系统PhysicalRSI1.0，在全球最硬核的具身智能竞技场RoboDojo上，直接把‘精密操作’这个老大难问题，从4%的成功率，一把拉到了32.50%！更魔幻的是：它干这事，只花了GPT-6Astra一次全量测试成本的1%——也就是不到2000 ...

从硅谷一路烧到国内，「让模型参与训练下一版自己」几乎一夜之间成了AI圈最热的叙事。 不过热闹归热闹，目前真正拿模型交卷的还屈指可数。 而就在这一当口，「港股AGI第一股」云知声正式发布U2-Flash，率先交出一份国产RSI早期答卷。 从生成训练数据、分析执行轨迹，到巡检和修复训练系统。 然后，反常识的部分来了。 按行业惯例，Flash一般默认是「旗舰平替」，通常更快、更便宜，但能力相对打折。 结 ...

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